2017 Data Management Benchmark Summary (Slides)
The 2017 benchmarking study consists of 22 DCAM-derived questions that highlight the most essential concepts in data management. The results include comparison to the previous study performed in 2015.
Slide presentation version
13 July 2017 - 13.71MB

Data Quality Dimensions
Seven common concepts for communicating data quality between business groups, with data vendors and with regulators.
27 October 2017 - 44.87KB

Best Practice Program: Critical Data Element Project Briefing
Definition: A critical data element (or business element) is a data element that has been identified as having a material impact on a business process or analytic, requiring escalated data quality scrutiny. A CDE can be either an atomic or a derived.
This meeting initiates our working group for defining CDE's
13 July 2017 - 515.35KB

2017 Data Management Benchmark Summary
The 2017 benchmarking study consists of 22 DCAM-derived questions that highlight the most essential concepts in data management. The results include comparison to the previous study performed in 2015.
13 July 2017 - 9.24MB

Data Management Glossary
The Standard Glossary of Data Management Concepts. (v0.1.1)
Developed by professional data practitioners to establish standard terminology and meaning for the practice of data management, with definitions, related terms and commentary
11 May 2017 - 329.33KB

Data Management Glossary
The Standard Glossary of Data Management Concepts. (v0.2.1)
Developed by professional data practitioners to establish standard terminology and meaning for the practice of data management, with definitions, related terms and commentary
04 September 2017 - 328.76KB

2015

DCAM Benchmarking Report 2015
The 2015 data management benchmarking study covered 21 of the most critical concepts related to effective data management. It was derived directly from the EDM Council’s Data Management Capability Assessment Model (DCAM™) – a set of standard criteria used to measure data management functions and processes. The final report includes analysis related to the adoption of data quality processes; the implementation of standards needed to achieve data comparability across the financial system; the establishment of strong governance to ensure successful data integration; and the ability to aggregate data needed by regulators in order to monitor threats to stability across the global financial system.
19 November 2015 - 6.23MB

2015 Benchmarking Template
The 2015 benchmarking initiative has been derived directly from the DCAM and has been designed to ensure that all participants have a consistent view of where we collectively stand against the requirements for sustainable data management. We have extracted the 21 most important concepts associated with the implementation of a data management “control environment.” This survey represents our collective view of the essence of data management. It is designed to measure what both data management professionals and financial industry business users think about the current state of data management capability.
01 September 2015 - 309.38KB